code: def generate_multi_feature_full() -> DataFrame:
      df = pd.concat(
          [
              DataHelper.generate_bool_feature_int(),
              DataHelper.generate_multi_feature_standard(),
              DataHelper.generate_multi_feature_special(),
          ],
          axis=1,
      )
      return df
  
imports: import copy
  import numpy
  import pandas
  import pytest
  from pandas import DataFrame, Series
  from autogluon.common.features.feature_metadata import FeatureMetadata
  from autogluon.features.generators import AbstractFeatureGenerator
label_desc: Use image node_id 18 for calling the DataHelper obj's underlying member method code with example usage: obj.generate_multi_feature_full() and returns: df